{"id":5279,"date":"2026-06-01T13:57:35","date_gmt":"2026-06-01T04:57:35","guid":{"rendered":"https:\/\/onboarding.bring.im\/?post_type=docs&#038;p=5279"},"modified":"2026-06-08T13:42:33","modified_gmt":"2026-06-08T04:42:33","password":"","slug":"faq-other-06","status":"publish","type":"docs","link":"https:\/\/onboarding.bring.im\/en\/docs\/faq-other-06\/","title":{"rendered":"The calories or nutrient values in the AI Diet analysis seem off."},"content":{"rendered":"<p>AI Diet analysis is AI technology that estimates approximate nutritional content based on the visual appearance of food photos you&#8217;ve registered.<\/p>\n<p>1. Use the manual nutrient correction feature: Photo analysis results may differ from your actual meal due to cooking methods or portion sizes. On the analyzed screen, you can tap directly on calories as well as carbohydrate, protein, and fat values to manually correct them to match your actual intake.<\/p>\n<p>2. Prevent input errors (enter in integers): If, after manually correcting values and saving, the values reset or don&#8217;t save properly, try changing the input to integer units (e.g., 151g instead of 150.5g, dropping the decimal).<\/p>\n<p>3. Report data errors: If a common food&#8217;s nutrient values are consistently and significantly misrecognized, capture the food name and the nutrient analysis screen and send it to customer support. We&#8217;ll reflect it when updating the AI learning model.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI Diet analysis is AI technology that estimates approximate nutritional content based on the visual appearance of food photos you&#8217;ve registered. 1. Use the manual nutrient correction feature: Photo analysis results may differ from your actual meal due to cooking methods or portion sizes. On the analyzed screen, you can tap directly on calories as [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"doc_category":[32],"doc_tag":[],"class_list":["post-5279","docs","type-docs","status-publish","hentry","doc_category-bring-other"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["ko","ja","en"],"languages":{"ko":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":false}}},"year_month":"2026-06","word_count":155,"total_views":0,"reactions":{"happy":0,"normal":0,"sad":0},"author_info":{"name":"apposter","author_nicename":"apposter","author_url":"https:\/\/onboarding.bring.im\/en\/author\/apposter\/"},"doc_category_info":[{"term_name":"Other Inquiries","term_url":"https:\/\/onboarding.bring.im\/en\/docs-category\/bring-other\/"}],"doc_tag_info":[],"_links":{"self":[{"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/docs\/5279","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/comments?post=5279"}],"version-history":[{"count":3,"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/docs\/5279\/revisions"}],"predecessor-version":[{"id":5736,"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/docs\/5279\/revisions\/5736"}],"wp:attachment":[{"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/media?parent=5279"}],"wp:term":[{"taxonomy":"doc_category","embeddable":true,"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/doc_category?post=5279"},{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/onboarding.bring.im\/en\/wp-json\/wp\/v2\/doc_tag?post=5279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}